Improvement in speed control of a six-phase induction motor using fuzzy control and genetic algorithm

Improvement in speed control of a six-phase induction motor using fuzzy control and genetic algorithm

This paper presents an application of a self tuning fuzzy control technique for speed control of a six-phase induction motor (SPIM). The torque ripple of a SPIM is lower than a three-phase IM. This paper proposes a rotor flux-oriented control technique for a SPIM to decouple torque and flux control....

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Hauptverfasser: Kargar, A., Ghanbari, D., Abjadi, N. R., Rahmati, K.
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Abjadi, N. R.
Rahmati, K.
description This paper presents an application of a self tuning fuzzy control technique for speed control of a six-phase induction motor (SPIM). The torque ripple of a SPIM is lower than a three-phase IM. This paper proposes a rotor flux-oriented control technique for a SPIM to decouple torque and flux control. Using the genetic algorithm (GA) with a simple cost function for tuning of the fuzzy controller parameters, a perfect speed control for SPIM is achieved.
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title Improvement in speed control of a six-phase induction motor using fuzzy control and genetic algorithm
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